Finished Testing Infineon Pictures

This commit is contained in:
2022-08-30 20:13:05 -07:00
parent 8bf672e840
commit d4c950e8e3
5 changed files with 74 additions and 42 deletions

View File

@ -621,14 +621,13 @@ internal class E_Distance
}
}
private Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> GetThreeSigmaFaceEncodings(int maxDegreeOfParallelism, long ticks, Dictionary<string, List<MappingContainer>> keyValuePairs)
private Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> GetThreeSigmaFaceEncodings(int maxDegreeOfParallelism, long ticks, Random random, Dictionary<string, List<MappingContainer>> keyValuePairs)
{
if (_Log is null)
throw new NullReferenceException(nameof(_Log));
Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> results = new();
int totalSeconds;
int selectedIndex;
Random random = new();
List<double> faceDistances;
MappingContainer mappingContainer;
int keyValuePairsCount = keyValuePairs.Count;
@ -662,12 +661,13 @@ internal class E_Distance
return results;
}
internal Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> ParallelWork(int maxDegreeOfParallelism, string[] ignoreRelativePaths, string argZero, long ticks, Map.Models.MapLogic mapLogic, Container[] containers)
internal Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> ParallelWork(int maxDegreeOfParallelism, string[] ignoreRelativePaths, string argZero, long ticks, Map.Models.MapLogic mapLogic, Container[] containers, int totalNotMapped)
{
Dictionary<string, List<(FaceRecognitionDotNet.FaceEncoding, MappingContainer)>> results;
mapLogic.ForceSingleImage(ignoreRelativePaths, argZero, containers);
Random random = new((int)ticks);
mapLogic.ForceSingleImage(ignoreRelativePaths, argZero, containers, totalNotMapped, random);
Dictionary<string, List<MappingContainer>> keyValuePairs = Map.Models.Stateless.IMapLogic.GetKeyValuePairs(ignoreRelativePaths, argZero, containers);
results = GetThreeSigmaFaceEncodings(maxDegreeOfParallelism, ticks, keyValuePairs);
results = GetThreeSigmaFaceEncodings(maxDegreeOfParallelism, ticks, random, keyValuePairs);
return results;
}